Exploiting Geometric Frustration in Coupled von Mises Trusses to Program Multifunctional Mechanical Metamaterials
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Multistable mechanical metamaterials are an emerging class of materials whose intricate internal structure can be engineered to program mechanical properties and promote reversible transitions between multiple stable states of energy. In this work, the design of a mechanical metamaterial based on an assembly of bistable von Mises trusses is presented. It is shown that coupling two von Mises trusses induces geometric frustration, which leads to an asymmetry between the stable states. Then the von Mises trusses are combined to build a unit cell that can change effective stiffness in compression when switching states. Based on a semi‐analytical model, the stiffness variation is characterized as a function of the geometric parameters and three possible scenarios are highlighted: 1) increased, 2) decreased, or 3) constant stiffness between the stable states. To validate the concept, the multistable metamaterials out of polylactic acid and thermoplastic polyurethane via fused filament fabrication are fabricated, and their mechanical response is evaluated by measuring experimentally the effective stiffness in both stable states under compression. This unit cell also features modularity, enabling reversible assembly and post‐fabrication tunability. Finally, a range of applications are explored, including sandwich panels capable of changing their compressive and bending stiffness as well as their surface morphology.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it